Abstract Floodplains are dynamic ecosystems wherein intensive farming can meet increased environmental concentrations and bioavailability of a number of trace elements. Therefore, the primary objective of this study was to investigate the partial digestion of selected trace elements in surficial soil samples (depth up to 40 cm) across a gradient of environmental conditions along the Ohře River and determining the elements of high priority, while also exploring their geographic variation. The established agrochemical testing of Czech soils provides a valuable resource to determine the geochemical differences of multi-element associations in cultivated areas (arable crops and hop fields) in periodically inundated areas in the catchment with a number of potential pollution sources. The topsoil samples were digested using the nitric acid (2 mol/L HNO3), analysed for trace elements (Be, Cd, Co, Cr, Cu, Ni, Pb, V, and Zn) using inductively coupled plasma mass spectrometry (ICP-MS) and atomic absorption spectroscopy (AAS), and for their total Hg content. Data (n = 130) were modelled against the sample location and cultivation using the log-ratio approach. The explanatory and inferential statistical tools (the Mantel's correlation test, PCA, MANOVA) adapted for compositions, combined with a simple spatial ranking and land-use information defined effective discriminating subcomposition (Cu–Hg–Ni) that were able to describe the changes of geochemical domains in floodplains and retained a decent representation (46%) of the entire compositional variability in our dataset. Mapping the Cu–Hg–Ni subcomposition using the RGB composite enabled to display the high-dimensional multivariate dataset with reduced information and enabled to discriminate spatial domains representing geochemical signatures related to changes in element inputs along the watercourse. The analysis of our results within the compositional framework showed a changing pattern of relative enrichment/depletion of the HNO3–extractable trace elements in which a regional contrast between groups of the chalcophile elements (Cu, Pb, Zn, and partly Cd), siderophile transition metals (Cr, Co, Ni, and V) and single elements (Hg, Be) was source-apportioned to the effect of point pollution sources (Hg, Ni, Cr, Co) as well as diffuse sources (Cu, Zn, Pb, Cd).

中文翻译：

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耕作漫滩的区域地球化学分带——多元素关联在捷克共和国 Ohře (Eger) 河沿岸土壤质量评价中的应用

摘要 洪泛区是动态的生态系统，其中集约化农业可以满足环境浓度和多种微量元素生物利用度的增加。因此，本研究的主要目的是调查表层土壤样品（深度达 40 cm）中选定的微量元素在 Ohře 河沿岸的环境条件梯度中的部分消化，并确定高优先级元素，同时还探索他们的地理差异。捷克土壤的既定农业化学测试为确定具有许多潜在污染源的集水区定期淹没地区的耕作区（可耕作作物和啤酒花田）中多元素组合的地球化学差异提供了宝贵的资源。使用硝酸 (2 mol/L HNO3) 消解表土样品，使用电感耦合等离子体质谱 (ICP- MS) 和原子吸收光谱 (AAS)，以及它们的总汞含量。数据 (n = 130) 使用对数比方法针对样本位置和培养进行建模。适用于成分的解释性和推断性统计工具（Mantel 相关性检验、PCA、MANOVA）结合简单的空间排名和土地利用信息定义了能够描述变化的有效区分子成分（Cu-Hg-Ni）洪泛区的地球化学域，并在我们的数据集中保留了整个成分变异性的体面表示 (46%)。使用 RGB 复合物绘制 Cu-Hg-Ni 子成分图，能够显示具有减少信息的高维多元数据集，并能够区分代表与沿水道元素输入变化相关的地球化学特征的空间域。在组成框架内对我们的结果进行的分析显示了 HNO3 可提取微量元素的相对富集/消耗模式的变化模式，其中亲硫元素（Cu、Pb、Zn 和部分 Cd）、嗜铁转变金属（Cr、Co、Ni 和 V）和单元素（Hg、Be）被源分配到点污染源（Hg、Ni、Cr、Co）和扩散源（Cu、Zn、Pb）的影响，镉）。